Abstract
Water resources play an essential role in achieving a multifaceted development society, and their superiority allocation affects the development rate of cities. The model of this research for allocating optimal water resources is constructed with objectives including social, economic, and ecological objectives, and the constraints including water supply, water demand, water transmission, and non-negativity, based on which the objectives are integrated using the Pareto front, and the dimensionless processing and entropy weighting method. Next, the improved marine predator algorithm (IMPA), which uses chaos initialization in the initial population, incorporates the golden sine algorithm in the process seeking and enhances the search capability using the quadratic interpolation method in the result comparison, is contrasted with several algorithms based on different functions for optimal values, standard deviation, and mean values. Then, using Huaying City as the research area, the water distribution scheme for the region in 2021 is obtained. The allocation schemes of local confirm the superiority of IMPA in terms of accuracy and stability, which provides a new idea for water allocation in Huaying City. The results of the experiment show that IMPA is an effective and available choice for solving water resources optimization researches.
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Acknowledgements
It was supported by the Zhejiang Provincial Natural Science Foundation of China (No. LY23H180001) and Open Fund of Key Laboratory of Sediment Science and Northern River Training, the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research (Grant No. IWHR-SEDI-2023-10).
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Zhaocai Wang: Conceptualization, Methodology, Software, Writing - original draft. Haifeng Zhao: Methodology, Validation, Writing - review & editing, Supervision. Xiaoguang Bao: Data curation, Software. Tunhua Wu: Methodology, Software, Writing - original draft. All authors reviewed the manuscript.
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Communicated by: H. Babaie
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Wang, Z., Zhao, H., Bao, X. et al. Multi-objective optimal allocation of water resources based on improved marine predator algorithm and entropy weighting method. Earth Sci Inform 17, 1483–1499 (2024). https://doi.org/10.1007/s12145-024-01230-9
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DOI: https://doi.org/10.1007/s12145-024-01230-9